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Funded
Projects:
LIFT/LIDAR -
NASA
Biocomplexity
(EREUPT) - NSF
Cell
Death - NIH
GFP
Project - ONR
Ocean
Productivity - NASA
Iron
Limitation - NSF
IR-FRR
- NSF
Inorganic
Carbon Cycling - US/Israel
BSF
Light
Intensity - DOE
Carbon
Sequestration - LBNL/DOE
Benthic
Targets (CoBOP) - ONR
SoFeX
- NSF
Key
Phytoplankton Groups (SMP) - NASA
Photoacclimation
(US/Czech Republic) - NSF
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Contact e-mail
romana@imcs.rutgers.edu
Last updated: 07-12-01
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The Environmental
Biophysics & Molecular
Ecology Program | |
 Funded Current
Projects
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Representing Key Phytoplankton Groups in Ocean
Carbon Cycle Models
Sponsored by: National Aeronautic Space Administration & US J.G.O.F.S.
Project Period: March 15, 1998 - March 14, 2001
Principle Investigator: Paul G. Falkowski
Co-Principle Investigator: Michael J. Behrenfeld
Co-Principle Investigator: Zbigniew S. Kolber
The primary goal of this project is to improve ocean carbon models by
describing how physical and chemical forcing affects the statistical
distribution of key functional phytoplankton groups. This information is
critical in predicting how changes in ocean physics and chemistry will
influence total and new production in future ocean model scenarios. The
research is coordinated with the Ocean Carbon-cycle Modeling
Intercomparison Project (OCMIP), an international project initiated in 1995
by the Global Analysis, Interpretation and Modeling (GAIM) Task Force of
the International Geosphere-Biosphere Program (IGBP).
The project focuses on the development of algorithms that predict how ocean physics
and chemistry affect the spatial distribution of:
- (1) Trichodesmium sp.,the major nitrogen fixing organisms;
- (2) diatoms, the major group responsible for export production;
- (3)
coccolithophores, which, as a consequence of calcification, raise pCO2; and
- (4) the polytaxonomic group of picoplankton, which, while they are the major carbon fixers, contribute
little to carbon export.
The statistical distribution of these four functional groups will be analyzed
using remotely sensed information in conjunction with sea truth data, and,
based on the statistics of their distributions, "functional group profiles"
will be generated. The "functional group profiles" give a probability of
encountering each of the four groups in each grid cell of an OGCM.
Based on these profiles, we can specify physical and chemical criteria that maximize and minimize the
distributions of each group, and hence prospectively infer their
distributions in climate change scenarios. From knowledge of the
distributions of each group, the forcing and feedback between ocean
circulation, chemistry and biological processes can be represented much
more realistically in ocean general circulation/biogeochemical models.
Animated movie files: Chl_ehux_CB_anim.gif
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MLD_ehux_CB_anim.gif
| SST1_eh_cb_anim.gif
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Environmental
Biophysics and Molecular Ecology Program
Institute of Marine and Coastal
Sciences Rutgers, The State University of New Jersey 71 Dudley
Road New Brunswick, NJ 08901 Phone: (732) 932-6555 Fax: (732)
932-4083
© 2001 Rutgers, The State University of New Jersey. All rights
reserved.
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